沥青路面
支持向量机
平滑度
沥青
路面工程
计算机科学
质量(理念)
运输工程
土木工程
机器学习
工程类
材料科学
认识论
数学分析
数学
复合材料
哲学
作者
Qiao Sun,Guan Wang,Yanpeng Sui,Ideris Zakaria
摘要
Pavement quality evaluation is important for pavement maintenance and is the basis for maintenance and investment decisions. With the use of asphalt pavements on highways, road maintenance problems are becoming increasingly serious. This paper introduces the prediction and evaluation of asphalt pavement and analyzes the quality evaluation methods of asphalt pavement in terms of damage degree, pavement smoothness, pavement gauge, and pavement strength. Based on this, a pavement quality evaluation based on machine learning, SVM, and other techniques is established, and a comprehensive evaluation model based on SVM, a set of asphalt pavement performance teaching materials, and a training label determination method are proposed to highlight the importance of highway asphalt pavement quality prediction and evaluation and provide reference for China’s highway construction.
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